Building Attention Recommendation at Wish

Attention is a valuable resource for rapidly scaling companies; the time it takes to manually monitor dashboards for new business trends can be crippling to new initiatives. Gazer is Wish’s general solution for teams to build intelligent dashboards and customize email alerts. With millions of combinations of data segments and metrics, anomalies are almost guaranteed to be found; so the primary problem to be solved is how to rank anomalies, with a goal of recommending the most useful and concise pieces of information to stakeholders without missing anything important. I’ll discuss how we approached this problem at Wish, what we’ve learned along the way, and how one might improve upon our current design.